Why Synthetics?
Create safe datasets with synthetic data – fast.
Generate synthetic datasets that retain the same insights and are statistically equivalent to your original data source.
- Differentially PrivateGretel's differential privacy option can guarantee that sensitive or PII data fields remain private.
- Safer DataCreate safe, artificial datasets with many of the same insights as the original dataset.
- Better TestingGenerate safe data to balance or de-bias datasets for ML/AI model testing.
- Prevent AttacksGretel Synthetics also helps to defend against re-identification and joinability attacks.
Why Synthetics?
Create safe datasets with synthetic data – fast.
Generate synthetic datasets that retain the same insights and are statistically equivalent to your original data source.
- Gretel's differential privacy option can guarantee that sensitive or PII data fields remain private
- Create safe, artificial datasets with many of the same insights as the original dataset
- Generate safe data to balance or de-bias datasets for ML/AI model testing
- Gretel Synthetics also helps to defend against re-identification and joinability attacks
Build privacy guarantees
into your existing workflows.
Create models with large amounts of artificial data that generalize better than those trained on limited datasets, with the added benefit of protecting your customers’ privacy.
Find the balance between data privacy and utility.
Look at how you can use Gretel’s Privacy Filters to make data private and preserve data utility.
Read the blog postGretel Synthetics provides advanced privacy guarantees.
Gretel’s synthetic data provides strong privacy guarantees, and can be as accurate, even surpass real-world data used for ML tasks
Read the blog post